TaskForge — AI-Assisted Team Productivity Hub

TaskForge is a team productivity hub that connects tasks from Jira, Asana, Notion, and email into one prioritized list. AI summarizes standups and long threads, suggests focus blocks, and surfaces blockers. Teams set goals and track progress without leaving the tools they already use.

Knowledge workers were switching between Jira, Notion, Slack, and email dozens of times a day. Priorities were scattered; standups and status updates were repetitive and time-consuming. Managers had no single view of team load and blockers. Tool sprawl was increasing, not decreasing, with every new adoption.

One place that shows 'what I need to do today' and 'what my team is working on' without replacing existing tools. AI should handle summarization and suggestions so people can focus on execution. The product should feel lightweight and fast—a layer on top of work, not another app to maintain.

We designed around 'today' and 'this week' as default views, with easy expansion to full backlogs. We kept the main surface minimal: list + sidebar. AI outputs were clearly labeled and editable so users stayed in control. We used progressive disclosure for settings and integrations. We invested in performance so the app felt instant even with many connected sources.

Next.js front end with real-time updates for task and goal changes. Backend: sync services per integration (OAuth, webhooks, polling fallback); normalized task and event store in PostgreSQL. AI pipeline for summarization and suggestions (batch and on-demand). Caching and incremental sync to keep load times low. Desktop app (Electron) and extension share auth and API with web.

The client has a working productivity hub that pulls in tasks from Jira, Notion, and email. Early adopters say it cuts down context-switching and speeds up standups. The client is growing usage team by team and refining based on real feedback.